Measuring retention within the adolescent brain cognitive development (ABCD)SM study
The Adolescent Brain Cognitive Development (ABCD)SM study aims to retain a demographically diverse sample of youth and one parent across 21 sites throughout its 10-year protocol while minimizing selective (systematic) attrition. To evaluate the effectiveness of these efforts, the ABCD Retention Work...
| Main Authors: | , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-04-01
|
| Series: | Developmental Cognitive Neuroscience |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1878929322000251 |
| _version_ | 1811333085523869696 |
|---|---|
| author | Sarah W. Feldstein Ewing Genevieve F. Dash Wesley K. Thompson Chase Reuter Vanessa G. Diaz Andrey Anokhin Linda Chang Linda B. Cottler Gayathri J. Dowling Kimberly LeBlanc Robert A. Zucker Susan F. Tapert Sandra A. Brown Hugh Garavan |
| author_facet | Sarah W. Feldstein Ewing Genevieve F. Dash Wesley K. Thompson Chase Reuter Vanessa G. Diaz Andrey Anokhin Linda Chang Linda B. Cottler Gayathri J. Dowling Kimberly LeBlanc Robert A. Zucker Susan F. Tapert Sandra A. Brown Hugh Garavan |
| author_sort | Sarah W. Feldstein Ewing |
| collection | DOAJ |
| description | The Adolescent Brain Cognitive Development (ABCD)SM study aims to retain a demographically diverse sample of youth and one parent across 21 sites throughout its 10-year protocol while minimizing selective (systematic) attrition. To evaluate the effectiveness of these efforts, the ABCD Retention Workgroup (RW) has employed a data-driven approach to examine, track, and intervene via three key metrics: (1) which youth completed visits late; (2) which youth missed visits; and (3) which youth withdrew from the study. The RW actively examines demographic (race, education level, family income) and site factors (visit satisfaction, distance from site, and enrollment in ancillary studies) to strategize efforts that will minimize disengagement and loss of participating youth and parents. Data showed that the most robust primary correlates of late visits were distance from study site, race, and parental education level. Race, lower parental education level, parental employment status, and lower family income were associated with higher odds of missed visits, while being enrolled in one of the ancillary studies was associated with lower odds of missed visits. Additionally, parents who were primary Spanish speakers withdrew at slightly higher rates. These findings provide insight into future targets for proactive retention efforts by the ABCD RW. |
| first_indexed | 2024-04-13T16:46:27Z |
| format | Article |
| id | doaj.art-6b3fd4ea26a748248d7d9297167fe00c |
| institution | Directory Open Access Journal |
| issn | 1878-9293 |
| language | English |
| last_indexed | 2024-04-13T16:46:27Z |
| publishDate | 2022-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Developmental Cognitive Neuroscience |
| spelling | doaj.art-6b3fd4ea26a748248d7d9297167fe00c2022-12-22T02:39:04ZengElsevierDevelopmental Cognitive Neuroscience1878-92932022-04-0154101081Measuring retention within the adolescent brain cognitive development (ABCD)SM studySarah W. Feldstein Ewing0Genevieve F. Dash1Wesley K. Thompson2Chase Reuter3Vanessa G. Diaz4Andrey Anokhin5Linda Chang6Linda B. Cottler7Gayathri J. Dowling8Kimberly LeBlanc9Robert A. Zucker10Susan F. Tapert11Sandra A. Brown12Hugh Garavan13Department of Psychology and Interdisciplinary Neuroscience, University of Rhode Island, Chafee Hall, 130 Flagg Road, Kingston, RI 02881, USA; Correspondence to: Department of Psychology and Interdisciplinary Neuroscience, 130 Flagg Road, Kingston, RI 02881, USA.Department of Psychological Sciences, University of Missouri, 210 McAlester Hall, Columbia, MO 65211, USACenter for Human Development, University of California San Diego, 9500 Gilman Drive, MC 0115, La Jolla, CA 92093, USA; Herbert Wertheim School of Public Health, University of California San Diego, 9500 Gilman Drive, MC 0115, La Jolla, CA 92093, USACenter for Human Development, University of California San Diego, 9500 Gilman Drive, MC 0115, La Jolla, CA 92093, USA; Herbert Wertheim School of Public Health, University of California San Diego, 9500 Gilman Drive, MC 0115, La Jolla, CA 92093, USADepartments of Psychology and Psychiatry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USADepartment of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave, Box 8134, St. Louis, MO 63110, USADepartments of Diagnostic Radiology & Nuclear Medicine, and Neurology, University of Maryland School of Medicine, 655 West Baltimore Street, Baltimore, MD 21201, USA; Department of Neurology Johns Hopkins School of Medicine, 655 West Baltimore Street, Baltimore, MD 21201, USADepartment of Epidemiology, University of Florida, 2004 Mowry Road, Gainesville, FL 32610, USADivision of Extramural Research, National Institute on Drug Abuse, Bethesda, MD 20892, USADivision of Extramural Research, National Institute on Drug Abuse, Bethesda, MD 20892, USADepartment of Psychiatry, University of Michigan, 1301 Catherine Street, Ann Arbor, MI 48109, USADepartments of Psychology and Psychiatry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USADepartments of Psychology and Psychiatry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USADepartment of Psychiatry, University of Vermont, 1 South Prospect Street, MS 446AR7, Burlington, VT 05401, USAThe Adolescent Brain Cognitive Development (ABCD)SM study aims to retain a demographically diverse sample of youth and one parent across 21 sites throughout its 10-year protocol while minimizing selective (systematic) attrition. To evaluate the effectiveness of these efforts, the ABCD Retention Workgroup (RW) has employed a data-driven approach to examine, track, and intervene via three key metrics: (1) which youth completed visits late; (2) which youth missed visits; and (3) which youth withdrew from the study. The RW actively examines demographic (race, education level, family income) and site factors (visit satisfaction, distance from site, and enrollment in ancillary studies) to strategize efforts that will minimize disengagement and loss of participating youth and parents. Data showed that the most robust primary correlates of late visits were distance from study site, race, and parental education level. Race, lower parental education level, parental employment status, and lower family income were associated with higher odds of missed visits, while being enrolled in one of the ancillary studies was associated with lower odds of missed visits. Additionally, parents who were primary Spanish speakers withdrew at slightly higher rates. These findings provide insight into future targets for proactive retention efforts by the ABCD RW.http://www.sciencedirect.com/science/article/pii/S1878929322000251ABCD study®AdolescentsRetentionMetricsLongitudinal studies |
| spellingShingle | Sarah W. Feldstein Ewing Genevieve F. Dash Wesley K. Thompson Chase Reuter Vanessa G. Diaz Andrey Anokhin Linda Chang Linda B. Cottler Gayathri J. Dowling Kimberly LeBlanc Robert A. Zucker Susan F. Tapert Sandra A. Brown Hugh Garavan Measuring retention within the adolescent brain cognitive development (ABCD)SM study Developmental Cognitive Neuroscience ABCD study® Adolescents Retention Metrics Longitudinal studies |
| title | Measuring retention within the adolescent brain cognitive development (ABCD)SM study |
| title_full | Measuring retention within the adolescent brain cognitive development (ABCD)SM study |
| title_fullStr | Measuring retention within the adolescent brain cognitive development (ABCD)SM study |
| title_full_unstemmed | Measuring retention within the adolescent brain cognitive development (ABCD)SM study |
| title_short | Measuring retention within the adolescent brain cognitive development (ABCD)SM study |
| title_sort | measuring retention within the adolescent brain cognitive development abcd sm study |
| topic | ABCD study® Adolescents Retention Metrics Longitudinal studies |
| url | http://www.sciencedirect.com/science/article/pii/S1878929322000251 |
| work_keys_str_mv | AT sarahwfeldsteinewing measuringretentionwithintheadolescentbraincognitivedevelopmentabcdsmstudy AT genevievefdash measuringretentionwithintheadolescentbraincognitivedevelopmentabcdsmstudy AT wesleykthompson measuringretentionwithintheadolescentbraincognitivedevelopmentabcdsmstudy AT chasereuter measuringretentionwithintheadolescentbraincognitivedevelopmentabcdsmstudy AT vanessagdiaz measuringretentionwithintheadolescentbraincognitivedevelopmentabcdsmstudy AT andreyanokhin measuringretentionwithintheadolescentbraincognitivedevelopmentabcdsmstudy AT lindachang measuringretentionwithintheadolescentbraincognitivedevelopmentabcdsmstudy AT lindabcottler measuringretentionwithintheadolescentbraincognitivedevelopmentabcdsmstudy AT gayathrijdowling measuringretentionwithintheadolescentbraincognitivedevelopmentabcdsmstudy AT kimberlyleblanc measuringretentionwithintheadolescentbraincognitivedevelopmentabcdsmstudy AT robertazucker measuringretentionwithintheadolescentbraincognitivedevelopmentabcdsmstudy AT susanftapert measuringretentionwithintheadolescentbraincognitivedevelopmentabcdsmstudy AT sandraabrown measuringretentionwithintheadolescentbraincognitivedevelopmentabcdsmstudy AT hughgaravan measuringretentionwithintheadolescentbraincognitivedevelopmentabcdsmstudy |